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Arxiv

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Image Credit: Arxiv

DiffGradCAM: A Universal Class Activation Map Resistant to Adversarial Training

  • Class Activation Mapping and its variants are commonly used for explaining Convolutional Neural Network predictions.
  • Standard CAMs are vulnerable to adversarial manipulation like passive fooling, leading to misleading CAMs without affecting decision performance.
  • To address this vulnerability, Salience-Hoax Activation Maps (SHAMs) are introduced as a benchmark for CAM robustness under adversarial conditions.
  • DiffGradCAM, a novel approach to class activation mapping, is proposed to be resistant to passive fooling and matches standard CAM methods in non-adversarial cases.

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